Americans are becoming less enthusiastic about artificial intelligence the more they learn about it, according to new polling from Gallup. The survey, reported by Decrypt, found that public skepticism toward AI is rising amid increasing concerns over job displacement, corporate adoption of the technology, and its broader societal impact. The findings suggest that as awareness of AI spreads, favorability is souring, creating a widening trust gap between the technology sector and the public it serves. This downward trend in sentiment poses a challenge for companies seeking to deploy AI across consumer-facing industries, where user confidence is often a prerequisite for adoption.
Yet this growing wariness stands in stark contrast to the pace of development within the financial technology sector, where infrastructure for autonomous AI agents is advancing rapidly. As reported by Decrypt, the emerging field of agentic finance is shifting AI from giving advice to making transactions. The XDC AI project reflects industry efforts to build a new layer of payment infrastructure that allows AI agents to pay and transact autonomously. This transition requires systems capable of handling machine-initiated payments, custody, and compliance as agents operate without direct human intervention, presenting engineering and regulatory hurdles that have yet to be fully resolved.
The race to build these systems highlights a central tension in the current technology landscape: while consumers express mounting reservations, industry stakeholders are betting heavily on a future populated by self-directing economic actors. Agentic finance envisions AI participating directly in economic activity rather than merely supporting human decisions. Proponents argue that such automation could streamline financial operations, but these ambitions depend on payment networks that can verify, authorize, and record machine-driven transactions securely. The shift also raises unresolved questions about liability, transparency, and recourse when autonomous systems control funds.
Meanwhile, other frontier technologies are also approaching commercial maturity alongside the push for agentic finance. IBM CEO Arvind Krishna said quantum computing will begin generating meaningful revenue before the decade ends as investment in the sector accelerates, in an interview reported by CoinDesk. The statement underscores that even as AI-specific sentiment cools, capital continues to flow into next-generation computing platforms that could eventually undergird everything from cryptography to complex financial modeling. The parallel development of quantum and AI systems suggests that the financial sector may soon face overlapping waves of technological disruption.
The divergence between public opinion and private investment raises questions about how autonomous financial systems will achieve mainstream acceptance if underlying trust in automated decision-making continues to erode. Payment infrastructure for AI agents may be technically feasible, but its adoption could face headwinds from users already anxious about technology’s expanding role in daily life. Regulators and builders alike will need to address the accountability gaps that fuel public skepticism. Whether the efficiencies promised by agentic finance can overcome the distrust documented by Gallup remains an open question as both the technology and the frameworks governing it continue to evolve.